Quantitative Finance Analyst
Quick Summary
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes,
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Responsibilities
~2 min read- →
Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
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Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
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Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
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Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
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Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
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Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
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Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
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Experience with HDFS, Hive, Spark, PySpark, and distributed data processing environments for large-scale model development or production analytics
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Hands-on experience with machine learning or AI model development using Python-based frameworks such as scikit-learn, boosting (e.g., XGBoost and LightGBM), bagging (e.g., Random Forest), or related ensemble methods
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Experience with model explain ability and transparency techniques, such as SHAP, feature importance, partial dependence, interpretable models, or other methods used to support model governance and stakeholder understanding
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Ability to apply CI/CD and software engineering tools, such as Git, JIRA, Confluence, Pytest, Jenkins, SonarQube, and code review practices, in a controlled model development process
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Business knowledge of residential real estate, housing markets, appraisal processes, mortgage origination or servicing, home equity lending, collateral risk management, and related economic drivers
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Familiarity with model risk management, regulatory expectations, and governance processes for high-impact financial models, including documentation, validation, monitoring, change management, and audit readiness
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Experience with CCAR, CECL, consumer credit risk, or other regulated banking model development environments
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Location & Eligibility
Listing Details
- First seen
- October 1, 2026
- Last seen
- October 1, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- October 1, 2026
Signal breakdown
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